Features-EEG
…Mapping the Dynamics of Visual Feature Coding: Insights into Perception and Integration…
- Participants
- 16
- Citations
- 27
- Size
- 69.6 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
100 results for "feature extraction" · page 1 of 10 · ranked by relevance
…Mapping the Dynamics of Visual Feature Coding: Insights into Perception and Integration…
…LDA, Shrinkage LDA Feature extraction: CSP, log-variance Frequency bands: analyzed=[4…
…LLP (Learning from Label Proportions), shrinkage-LDA, EM-algorithm - **Feature extraction**: mean…
…We found that artificially enhanced human faces with exaggerated visual features significantly…
…Wolf), Bayesian least square regression - **Feature extraction**: mean amplitudes in six temporal…
…Physiologically-grounded features - **Real-time prediction**: Low-latency gesture detection ### Applications - **Grid…
…MOABB prior to BIDS conversion: - Extraction of the 14 EEG channels from…
…sLDA - **Feature extraction**: time-domain signals, discriminative spatial patterns (DSP) - **Frequency bands…
THINGS-EEG2 is a large-scale EEG dataset comprising recordings from 10 subjects viewing 16,540 distinct training images and 200 test images presented via rapid serial visual presentation at 5 Hz. The dataset includes 63-channel EEG data sampled at 1000 Hz across 4 sessions per subject, with approximately 32,540 training trials and 16,000 test trials, designed to support computational modeling of human visual object recognition. Stimuli are drawn from the THINGS database, and the dataset includes resting-state recordings and behavioral annotations for each trial.
…Feature extraction employed Riemannian tangent space mapping with common spatial pattern spatial…